In a invited presentation I will summarise our ongoing research @PaleoParaDive on constraining the deep #origin and #evolution of #parasitic #flatworms with #fossil evidence and novel #cophylogenetic methods:
https://doi.org/10.1098/rspb.2022.0432 https://doi.org/10.1007/978-3-030-42484-8_7
https://doi.org/10.1093/icb/icac050 #paleobiology #paleoparasitology #EvolutionaryBiology

It will be my first time in Brazil and look forward to it and meeting new colleagues.

By comparing the results of the model-based approach with that of parsimony-based approaches (e.g., eMPRess: https://doi.org/10.1093/bioinformatics/btaa978) we show that different methods can have a large effect on extinction risk estimation. Further, we demonstrate that model-based approaches offer greater potential to provide insights into #cophylogenetic history and #extinction risk: https://doi.org/10.6084/m9.figshare.c.6154295

The #cophylogenetic #extinction rate Ec was first introduced by Jorge Doña and Kevin Johnson to "Assessing symbiont extinction risk using cophylogenetic data":
https://doi.org/10.1016/j.biocon.2020.108705

To explore this metric, we investigated the use of different #cophylogenetic methods to inform the Ec rate, based on a previously published dataset of #polystome parasites and their #anuran hosts: https://doi.org/10.1093/sysbio/syr078

Where traditional #extinction estimates fall flat: using novel cophylogenetic methods to estimate extinction #risk in #platyhelminths: https://doi.org/10.1098/rspb.2022.0432

Here, we apply a novel metric to estimate the cophylogenetic extinction #rate, Ec, of #parasites with their hosts. The approach allows to incorporates information about the evolutionary history of parasites and hosts that can be estimated using event-based #cophylogenetic methods.